Search Results - "Patel, Vishal M"

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  1. 1

    Learning Deep Features for One-Class Classification by Perera, Pramuditha, Patel, Vishal M.

    Published in IEEE transactions on image processing (01-11-2019)
    “…We present a novel deep-learning-based approach for one-class transfer learning in which labeled data from an unrelated task is used for feature learning in…”
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    Journal Article
  2. 2

    HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition by Ranjan, Rajeev, Patel, Vishal M., Chellappa, Rama

    “…We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural…”
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    Journal Article
  3. 3

    A survey of recent advances in CNN-based single image crowd counting and density estimation by Sindagi, Vishwanath A., Patel, Vishal M.

    Published in Pattern recognition letters (01-05-2018)
    “…•Survey on CNN-based approaches for crowd counting and density estimation.•Discussion on recent hand-crafted representations-based methods.•Recently datasets…”
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    Journal Article
  4. 4

    JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method by Sindagi, Vishwanath A., Yasarla, Rajeev, Patel, Vishal M.

    “…We introduce a new large scale unconstrained crowd counting dataset (JHU-CROWD++) that contains "4,372" images with "1.51 million" annotations. In comparison…”
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    Journal Article
  5. 5

    TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions by Jose Valanarasu, Jeya Maria, Yasarla, Rajeev, Patel, Vishal M.

    “…Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications. Most methods proposed in the literature…”
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    Conference Proceeding
  6. 6

    Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes by Yasarla, Rajeev, Sindagi, Vishwanath A., Patel, Vishal M.

    “…Recent CNN-based methods for image deraining have achieved excellent performance in terms of reconstruction error as well as visual quality. However, these…”
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    Conference Proceeding
  7. 7

    LTT-GAN: Looking Through Turbulence by Inverting GANs by Mei, Kangfu, Patel, Vishal M.

    “…In many applications of long-range imaging, we are faced with a scenario where a person appearing in the captured imagery is often degraded by atmospheric…”
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    Journal Article
  8. 8

    Adversarially Robust One-Class Novelty Detection by Lo, Shao-Yuan, Oza, Poojan, Patel, Vishal M.

    “…One-class novelty detectors are trained with examples of a particular class and are tasked with identifying whether a query example belongs to the same known…”
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    Journal Article
  9. 9

    DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning by Nguyen, Hien V., Huy Tho Ho, Patel, Vishal M., Chellappa, Rama

    Published in IEEE transactions on image processing (01-12-2015)
    “…Complex visual data contain discriminative structures that are difficult to be fully captured by any single feature descriptor. While recent work on domain…”
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    Journal Article
  10. 10

    SAR Despeckling using a Denoising Diffusion Probabilistic Model by Perera, Malsha V., Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.

    Published in IEEE geoscience and remote sensing letters (01-01-2023)
    “…Speckle is a type of multiplicative noise that affects all coherent imaging modalities including Synthetic Aperture Radar (SAR) images. The presence of speckle…”
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    Journal Article
  11. 11

    Sparse Representation-Based Open Set Recognition by He Zhang, Patel, Vishal M.

    “…We propose a generalized Sparse Representation-based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are…”
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    Journal Article
  12. 12

    One-Class Convolutional Neural Network by Oza, Poojan, Patel, Vishal M.

    Published in IEEE signal processing letters (01-02-2019)
    “…We present a novel convolutional neural network (CNN) based approach for one-class classification. The idea is to use a zero centered Gaussian noise in the…”
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    Journal Article
  13. 13

    Dictionary-Based Face Recognition Under Variable Lighting and Pose by Patel, V. M., Tao Wu, Biswas, S., Phillips, P. J., Chellappa, R.

    “…We present a face recognition algorithm based on simultaneous sparse approximations under varying illumination and pose. A dictionary is learned for each class…”
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    Journal Article
  14. 14

    Face-based Active Authentication on mobile devices by Fathy, Mohammed E., Patel, Vishal M., Chellappa, Rama

    “…As mobile devices are becoming more ubiquitous, it becomes important to continuously verify the identity of the user during all interactions rather than just…”
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    Conference Proceeding
  15. 15

    C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition by Oza, Poojan, Patel, Vishal M.

    “…Models trained for classification often assume that all testing classes are known while training. As a result, when presented with an unknown class during…”
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    Conference Proceeding
  16. 16

    Deep Multimodal Subspace Clustering Networks by Abavisani, Mahdi, Patel, Vishal M.

    “…We present convolutional neural network based approaches for unsupervised multimodal subspace clustering. The proposed framework consists of three main…”
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    Journal Article
  17. 17

    HA-CCN: Hierarchical Attention-Based Crowd Counting Network by Sindagi, Vishwanath A., Patel, Vishal M.

    Published in IEEE transactions on image processing (01-01-2020)
    “…Single image-based crowd counting has recently witnessed increased focus, but many leading methods are far from optimal, especially in highly congested scenes…”
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    Journal Article
  18. 18

    Joint Transmission Map Estimation and Dehazing Using Deep Networks by Zhang, He, Sindagi, Vishwanath, Patel, Vishal M.

    “…Single image haze removal is an extremely challenging problem due to its inherent ill-posed nature. Several prior-based and learning-based methods have been…”
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    Journal Article
  19. 19

    Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining by Yasarla, Rajeev, Patel, Vishal M.

    “…Single image de-raining is an extremely challenging problem since the rainy image may contain rain streaks which may vary in size, direction and density…”
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    Conference Proceeding
  20. 20

    Confidence Measure Guided Single Image De-Raining by Yasarla, Rajeev, Patel, Vishal M.

    “…Single image de-raining is an extremely challenging problem since the rainy images contain rain streaks which often vary in size, direction and density. This…”
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    Journal Article